Interactive fuzzy programming approachInterval coefficient. Multi-objective linear programmingPurpose - The purpose of this paper is to propose a method for solving multi-objective linear programming (MOLP) with interval coefficients using positioned programming and interactive fuzzy programming approaches. ...
内容提示: CEJOR (2013) 21:625–649DOI 10.1007/s10100-012-0252-9ORIGINAL PAPERMinimax regret solution to multiobjective linearprogramming problems with interval objectivefunctions coefficientsS. Rivaz · M. A. YaghoobiPublished online: 1 July 2012© Springer-Verlag 2012AbstractThe current paper ...
Three main metrics are used in order to examine the proximity between the studied structures: (i) clustering coefficient, (ii) average path length and (iii) degree distribution. Considering the difference of the corresponding metrics of each network type as an objective function, a multi-objective...
Lachhwani, K. Interval-valued trapezoidal neutrosophic bi-level multiobjective linear programming numbers: algorithm and its application to pharmaceutical production planning problem.Int J Syst Assur Eng Manag(2024). https://doi.org/10.1007/s13198-024-02292-0 Download citation Received Revised Accepted...
(0.045) – see Table 1; however, this change in the solution deteriorates the value of the first objective function (skills in sports), since the coefficient of x19 for this function (0.066) is higher than the corresponding of x20 (−0.028) – see Table 1 –and, as consequence, the ...
A nonlinear coefficient \(\eta \) is multiplied by the number of welders \(\mu _{f,i,s}\) and the welding energy consumption of operation \(O_{i,s}\) is \(r_{f,i,s}\times \mu _{f,i,s}\times \eta \). The more \(\mu _{f,i,s}\), the higher welding energy ...
Where,ispecifies the current iteration,\vec {X}(i)denotes position vector,\overrightarrow {X_{best}}(i)denotes position vector of the current best solution.\vec {A}, and\vec {C}are coefficient vectors defined as follows, respectively: ...
Then, the algorithm parameters including the initial amplitude (A0), the max of the iterations at each amplitude (T), the damping coefficient (γ) and the standard deviation (σ) are initialized. Then, the solutions are evaluated by means of the objective function value (OFV). The algorithm...
,5},where λikl1f is the linear coefficient and λikl0f is the constant of the fth linearisation function. eikl′ will now represent the energy consumption of train i departing from section k to section l. Finally, the linearised objective becomes: (31)E′(t)=∑i∈T∑(k,l)∈Aie...
1) objective function coefficient 目标函数系数 1. Gives two theorems of linear programming objective function coefficient trouble and proves them precisely and simply. 提出了线性规划目标函数系数扰动的两个定理,并分别给出了严谨及简单的证明,同时,也从一个侧面刻划了线性规划解的稳定性。 更多例句>> ...